Openkyber
Director of AI Solutions
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Director of AI Solutions, a long-term contract position based in Atlanta, GA (remote). Key requirements include 8+ years in software/ML engineering, expertise in Generative AI, MLOps, and AWS services, along with strong programming skills in Python.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
February 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Georgia
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🧠 - Skills detailed
#GitHub #Data Security #ML (Machine Learning) #Monitoring #Lambda (AWS Lambda) #Terraform #Scala #IAM (Identity and Access Management) #Langchain #API (Application Programming Interface) #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Cloud #Flask #Kubernetes #Automation #TensorFlow #Data Science #Security #PyTorch #Jenkins #FastAPI #Programming #DevOps #Docker #Compliance #SageMaker #AI (Artificial Intelligence) #Deployment #Python
Role description
Job Title: Sr. Engineer GenAI & MLOps (AWS)
Location: Atlanta, GA (Remote)
Duration: Long Term Contract
Role Summary: Seeking a Senior GenAI & MLOps Engineer to design, deploy, and scale Generative AI and ML solutions on AWS. The role focuses on building production-grade ML/LLM pipelines, automating model lifecycle, deploying scalable AI services, and ensuring governance and compliance standards.
Key Responsibilities:
Build and manage end-to-end MLOps pipelines for training, deployment, monitoring, and retraining.
Deploy and optimize Generative AI/LLM applications, including RAG-based solutions.
Productionize ML models and enable scalable inference services.
Implement CI/CD automation for ML workflows.
Monitor model performance, drift detection, and automated retraining.
Implement AI/ML governance, security, compliance, and responsible AI controls.
Collaborate with data science and DevOps teams to integrate AI solutions.
Required Skills:
Strong experience in Generative AI, LLMs, Prompt Engineering, and RAG frameworks
Hands-on expertise in MLOps and ML lifecycle management
AWS services: SageMaker, Bedrock, Lambda, EKS/ECS, S3, Step Functions, API Gateway, CloudWatch, IAM, AWS Organizations & governance controls
Programming: Python, PyTorch/TensorFlow
Frameworks: LangChain or LlamaIndex
API development using FastAPI/Flask
Containerization: Docker, Kubernetes
Infrastructure & CI/CD: Terraform/CloudFormation, Jenkins/GitHub Actions
Knowledge of model governance, access control, data security, and compliance practices
Experience: 8+ years in software/ML engineering with strong experience in cloud-based ML deployments and governance practices.
For applications and inquiries, contact: hirings@openkyber.com
Job Title: Sr. Engineer GenAI & MLOps (AWS)
Location: Atlanta, GA (Remote)
Duration: Long Term Contract
Role Summary: Seeking a Senior GenAI & MLOps Engineer to design, deploy, and scale Generative AI and ML solutions on AWS. The role focuses on building production-grade ML/LLM pipelines, automating model lifecycle, deploying scalable AI services, and ensuring governance and compliance standards.
Key Responsibilities:
Build and manage end-to-end MLOps pipelines for training, deployment, monitoring, and retraining.
Deploy and optimize Generative AI/LLM applications, including RAG-based solutions.
Productionize ML models and enable scalable inference services.
Implement CI/CD automation for ML workflows.
Monitor model performance, drift detection, and automated retraining.
Implement AI/ML governance, security, compliance, and responsible AI controls.
Collaborate with data science and DevOps teams to integrate AI solutions.
Required Skills:
Strong experience in Generative AI, LLMs, Prompt Engineering, and RAG frameworks
Hands-on expertise in MLOps and ML lifecycle management
AWS services: SageMaker, Bedrock, Lambda, EKS/ECS, S3, Step Functions, API Gateway, CloudWatch, IAM, AWS Organizations & governance controls
Programming: Python, PyTorch/TensorFlow
Frameworks: LangChain or LlamaIndex
API development using FastAPI/Flask
Containerization: Docker, Kubernetes
Infrastructure & CI/CD: Terraform/CloudFormation, Jenkins/GitHub Actions
Knowledge of model governance, access control, data security, and compliance practices
Experience: 8+ years in software/ML engineering with strong experience in cloud-based ML deployments and governance practices.
For applications and inquiries, contact: hirings@openkyber.com
